Question

In: Statistics and Probability

Use the probability distribution to complete parts​ (a) and​ (b) below. The number of defects per...

Use the probability distribution to complete parts​ (a) and​ (b) below. The number of defects per 1000 machine parts inspected Defects 0 1 2 3 4 5 Probability 0.261 0.301 0.242 0.133 0.045 0.018 ​(a) Find the​ mean, variance, and standard deviation of the probability distribution. The mean is:

Solutions

Expert Solution

Solution:

The formula for the mean, variance, and standard deviation for the probability distribution are given as below:

Mean = ∑ XP(X)

Variance = ∑ P(X)*(X - mean)^2

Standard deviation = Sqrt(Variance)

The calculation table is given as below:

X

P(X)

XP(X)

P(X)*(X - mean)^2

0

0.261

0

0.551784276

1

0.301

0.301

0.062040916

2

0.242

0.484

0.072144072

3

0.133

0.399

0.317885428

4

0.045

0.18

0.29169522

5

0.018

0.09

0.226334088

Total

1

1.454

1.521884

From above table, we have

Mean = 1.454

Variance = 1.521884

Standard deviation = sqrt(1.521884) = 1.233646627

Standard deviation = 1.233646627


Related Solutions

Use the probability distribution to complete parts​ (a) and​ (b) below. The number of defects per...
Use the probability distribution to complete parts​ (a) and​ (b) below. The number of defects per 1000 machine parts inspected Defects 0 1 2 3 4 5 Probability 0.262 0.291 0.240 0.151 0.037 0.019 ​(a) Find the​ mean, variance, and standard deviation of the probability distribution. The mean is nothing. ​(Round to one decimal place as​ needed.) The variance is nothing. ​(Round to one decimal place as​ needed.) The standard deviation is nothing. ​(Round to one decimal place as​ needed.)...
A frequency distribution is shown below. Complete parts​ (a) through​ (e). The number of dogs per...
A frequency distribution is shown below. Complete parts​ (a) through​ (e). The number of dogs per household in a small town. ​(a) Use the frequency distribution to construct a probability distribution. ​(b) Find the mean of the probability distribution. ​(c) Find the variance of the probability distribution.  (d) Find the standard deviation of the probability distribution. ​(e) Using the found values of the mean and the standard​ deviation, an interpretation of the results in the context of the​ real-life situation is...
Complete parts​ (a) and​ (b) below. The number of dogs per household in a small town...
Complete parts​ (a) and​ (b) below. The number of dogs per household in a small town (a) Find the​ mean, variance, and standard deviation of the probability distribution. Find the mean of the probability distribution. u=___(Round to one decimal place if needed) Find the variance of the probability distribution. o2=___(round to one decimal place if needed) find the standard deviation of the probability distribution o=____(round to one decimal place when needed) (b) Interpret the results in the context of the​...
Complete parts​ (a) and​ (b) below. The number of dogs per household in a small town...
Complete parts​ (a) and​ (b) below. The number of dogs per household in a small town Dogs 0 1 2 3 4 5 Probability 0.649 0.220 0.087 0.024 0.013 0.008 ​ (a) Find the​ mean, variance, and standard deviation of the probability distribution.
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 7 ounces. a. The process standard deviation is 0.10, and the process control is set at plus or minus 2 standard deviation s . Units with weights less than 6.8 or greater than 7.2 ounces will be classified as defects. What is the probability of a defect (to...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 14 ounces. The process standard deviation is 0.2, and the process control is set at plus or minus 0.5 standard deviation. Units with weights less than 13.9 or greater than 14.1 ounces will be classified as defects. What is the probability of a defect (to 4 decimals)? In...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 12 ounces. a. The process standard deviation is 0.10 ounces, and the process control is set at plus or minus 1.75 standard deviations. Units with weights less than 11.825 or greater than 12.175 ounces will be classified as defects. What is the probability of a defect (to 4...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 14 ounces. a. The process standard deviation is 0.10 ounces, and the process control is set at plus or minus 2.25 standard deviations. Units with weights less than 13.775 or greater than 14.225 ounces will be classified as defects. What is the probability of a defect (to 4...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 14 ounces. The process standard deviation is 0.1, and the process control is set at plus or minus 1.5 standard deviations. Units with weights less than 13.85 or greater than 14.15 ounces will be classified as defects. What is the probability of a defect (to 4 decimals)? In...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of ounces. a. The process standard deviation is , and the process control is set at plus or minus standard deviation . Units with weights less than or greater than ounces will be classified as defects. What is the probability of a defect (to 4 decimals)? In a production...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT